ANALISA PEREKONOMIAN INDONESIA TRIWULAN III AKIBAT COVID19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to determine Indonesia's economic growth in the second quarter and third quarter of 2020 after the Covid-19 pandemic. This research is a qualitative research using descriptive analysis method with the aim of analyzing and providing an overview of the condition of the Indonesian economy. Based on a study conducted by Badan Pusat Statistik and Bank Indonesia, it shows Indonesia's economic growth in 2020 will experience a slowdown unlike in previous years. The government has budgeted Rp. 695.20 trillion for the cost of handling Covid-19 which is divided into several sectors and in the third quarter economic growth has improved to minus 3.49 which previously contracted minus 5.32 in the second quarter. It is hoped that the government and related authorities, through sharing policies, will continue to strengthen effective synergies to promote economic recovery in various sectors, so it is hoped that the fourth quarter will be positive.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it